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M10_small_view20_bs8_pretrainTRUE_lr0.001.log
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M10_small_view20_bs8_pretrainTRUE_lr0.001.log
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| distributed init (rank 0): env://
| distributed init (rank 1): env://
Namespace(aa='rand-m9-mstd0.5-inc1', batch_size=8, clip_grad=None, color_jitter=0.4, cooldown_epochs=10, cutmix=1.0, cutmix_minmax=None, data_path='/datasets01/imagenet_full_size/061417/', data_set='M10', decay_epochs=30, decay_rate=0.1, device='cuda', dist_backend='nccl', dist_eval=False, dist_url='env://', distillation_alpha=0.5, distillation_tau=1.0, distillation_type='none', distributed=True, drop=0.0, drop_path=0.1, epochs=300, eval=False, finetune='deit_small_patch16_224.pth', gpu=0, inat_category='name', input_size=224, lr=0.001, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, min_lr=1e-05, mixup=0.8, mixup_mode='batch', mixup_prob=1.0, mixup_switch_prob=0.5, model='deit_small_patch16_224', model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, momentum=0.9, num_points=1024, num_workers=8, opt='adamw', opt_betas=None, opt_eps=1e-08, output_dir='outputs', patience_epochs=10, pin_mem=True, rank=0, recount=1, remode='pixel', repeated_aug=True, reprob=0.25, resplit=False, resume='', sched='cosine', seed=0, smoothing=0.1, start_epoch=0, teacher_model='regnety_160', teacher_path='', train_interpolation='bicubic', warmup_epochs=5, warmup_lr=1e-06, weight_decay=0.05, world_size=2)
==================== ModelNet10 ====================
/opt/conda/lib/python3.7/site-packages/torchvision/transforms/transforms.py:279: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.
warnings.warn("The use of the transforms.Scale transform is deprecated, " +
/opt/conda/lib/python3.7/site-packages/torchvision/transforms/transforms.py:279: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.
warnings.warn("The use of the transforms.Scale transform is deprecated, " +
ModelNet 20view!
batch size: 8
class number: 10
Creating model: deit_small_patch16_224
block cut = 1
VisionTransformer.view_number = 20
Removing key head.weight from pretrained checkpoint
Removing key head.bias from pretrained checkpoint
loaded model: deit_small_patch16_224.pth
number of params: 21669514
Start training for 300 epochs
Epoch: [0] [ 0/240] eta: 0:12:49 lr: 0.000001 loss: 2.5889 (2.5889) time: 3.2043 data: 2.1904 max mem: 20670
Epoch: [0] [ 10/240] eta: 0:02:42 lr: 0.000001 loss: 2.4419 (2.4910) time: 0.7077 data: 0.1992 max mem: 20904
Epoch: [0] [ 20/240] eta: 0:02:06 lr: 0.000001 loss: 2.4095 (2.4526) time: 0.4456 data: 0.0001 max mem: 20904
Epoch: [0] [ 30/240] eta: 0:01:51 lr: 0.000001 loss: 2.3805 (2.4363) time: 0.4332 data: 0.0001 max mem: 20904
Epoch: [0] [ 40/240] eta: 0:01:41 lr: 0.000001 loss: 2.4163 (2.4434) time: 0.4330 data: 0.0001 max mem: 20904
Epoch: [0] [ 50/240] eta: 0:01:33 lr: 0.000001 loss: 2.4138 (2.4233) time: 0.4330 data: 0.0001 max mem: 20904
Epoch: [0] [ 60/240] eta: 0:01:26 lr: 0.000001 loss: 2.3743 (2.4157) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [0] [ 70/240] eta: 0:01:20 lr: 0.000001 loss: 2.3597 (2.4070) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [0] [ 80/240] eta: 0:01:15 lr: 0.000001 loss: 2.3117 (2.3938) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [0] [ 90/240] eta: 0:01:09 lr: 0.000001 loss: 2.2690 (2.3829) time: 0.4329 data: 0.0001 max mem: 20904
Epoch: [0] [100/240] eta: 0:01:04 lr: 0.000001 loss: 2.2499 (2.3724) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [0] [110/240] eta: 0:00:59 lr: 0.000001 loss: 2.2777 (2.3624) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [0] [120/240] eta: 0:00:55 lr: 0.000001 loss: 2.2182 (2.3482) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [0] [130/240] eta: 0:00:50 lr: 0.000001 loss: 2.1963 (2.3411) time: 0.4324 data: 0.0001 max mem: 20904
Epoch: [0] [140/240] eta: 0:00:45 lr: 0.000001 loss: 2.2899 (2.3360) time: 0.4325 data: 0.0001 max mem: 20904
Epoch: [0] [150/240] eta: 0:00:40 lr: 0.000001 loss: 2.2402 (2.3264) time: 0.4328 data: 0.0001 max mem: 20904
Epoch: [0] [160/240] eta: 0:00:36 lr: 0.000001 loss: 2.1042 (2.3151) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [0] [170/240] eta: 0:00:31 lr: 0.000001 loss: 2.1476 (2.3058) time: 0.4331 data: 0.0001 max mem: 20904
Epoch: [0] [180/240] eta: 0:00:27 lr: 0.000001 loss: 2.1171 (2.2961) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [0] [190/240] eta: 0:00:22 lr: 0.000001 loss: 2.0897 (2.2863) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [0] [200/240] eta: 0:00:17 lr: 0.000001 loss: 2.2093 (2.2830) time: 0.4329 data: 0.0001 max mem: 20904
Epoch: [0] [210/240] eta: 0:00:13 lr: 0.000001 loss: 2.2230 (2.2766) time: 0.4329 data: 0.0001 max mem: 20904
Epoch: [0] [220/240] eta: 0:00:08 lr: 0.000001 loss: 2.1454 (2.2734) time: 0.4332 data: 0.0001 max mem: 20904
Epoch: [0] [230/240] eta: 0:00:04 lr: 0.000001 loss: 2.1033 (2.2651) time: 0.4331 data: 0.0001 max mem: 20904
Epoch: [0] [239/240] eta: 0:00:00 lr: 0.000001 loss: 1.9892 (2.2550) time: 0.4330 data: 0.0001 max mem: 20904
Epoch: [0] Total time: 0:01:47 (0.4465 s / it)
Averaged stats: lr: 0.000001 loss: 1.9892 (2.1821)
Test: [ 0/76] eta: 0:04:02 loss: 3.0480 (3.0480) acc1: 0.0000 (0.0000) acc5: 0.0000 (0.0000) time: 3.1970 data: 2.4208 max mem: 20904
Test: [10/76] eta: 0:00:35 loss: 2.0857 (2.3965) acc1: 8.3333 (6.0606) acc5: 100.0000 (62.1212) time: 0.5372 data: 0.2306 max mem: 20904
Test: [20/76] eta: 0:00:22 loss: 1.9558 (2.0097) acc1: 16.6667 (37.3016) acc5: 100.0000 (79.3651) time: 0.2635 data: 0.0058 max mem: 20904
Test: [30/76] eta: 0:00:16 loss: 2.0832 (2.2637) acc1: 0.0000 (25.2688) acc5: 25.0000 (55.3763) time: 0.2441 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:11 loss: 2.7769 (2.2795) acc1: 0.0000 (20.9350) acc5: 8.3333 (56.5041) time: 0.2305 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 2.3883 (2.3204) acc1: 0.0000 (18.3007) acc5: 8.3333 (50.9804) time: 0.2294 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 1.9176 (2.2284) acc1: 16.6667 (24.8634) acc5: 83.3333 (57.7869) time: 0.2300 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 2.2526 (2.2374) acc1: 0.0000 (21.3615) acc5: 91.6667 (61.0329) time: 0.2232 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 2.2781 (2.2384) acc1: 0.0000 (20.0441) acc5: 91.6667 (63.2159) time: 0.2166 data: 0.0001 max mem: 20904
Test: Total time: 0:00:20 (0.2761 s / it)
* Acc@1 22.412 Acc@5 71.531 loss 2.145
Accuracy of the network on the 908 test images: 22.4%
Max accuracy: 22.41%
Epoch: [1] [ 0/240] eta: 0:07:48 lr: 0.000001 loss: 1.7524 (1.7524) time: 1.9519 data: 1.5135 max mem: 20904
Epoch: [1] [ 10/240] eta: 0:02:12 lr: 0.000001 loss: 2.0222 (1.9641) time: 0.5766 data: 0.1377 max mem: 20904
Epoch: [1] [ 20/240] eta: 0:01:51 lr: 0.000001 loss: 1.9937 (1.9952) time: 0.4363 data: 0.0001 max mem: 20904
Epoch: [1] [ 30/240] eta: 0:01:41 lr: 0.000001 loss: 2.0497 (2.0205) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [1] [ 40/240] eta: 0:01:34 lr: 0.000001 loss: 2.0585 (2.0234) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [1] [ 50/240] eta: 0:01:28 lr: 0.000001 loss: 2.0621 (2.0414) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [1] [ 60/240] eta: 0:01:22 lr: 0.000001 loss: 2.0117 (2.0255) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [1] [ 70/240] eta: 0:01:17 lr: 0.000001 loss: 2.0010 (2.0266) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [1] [ 80/240] eta: 0:01:12 lr: 0.000001 loss: 2.0899 (2.0434) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [1] [ 90/240] eta: 0:01:07 lr: 0.000001 loss: 2.1066 (2.0531) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [1] [100/240] eta: 0:01:02 lr: 0.000001 loss: 2.0963 (2.0618) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [1] [110/240] eta: 0:00:58 lr: 0.000001 loss: 2.0277 (2.0584) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [1] [120/240] eta: 0:00:53 lr: 0.000001 loss: 1.9570 (2.0584) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [1] [130/240] eta: 0:00:49 lr: 0.000001 loss: 1.9870 (2.0618) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [1] [140/240] eta: 0:00:44 lr: 0.000001 loss: 1.9942 (2.0594) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [1] [150/240] eta: 0:00:40 lr: 0.000001 loss: 1.9900 (2.0559) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [1] [160/240] eta: 0:00:35 lr: 0.000001 loss: 2.0608 (2.0573) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [1] [170/240] eta: 0:00:31 lr: 0.000001 loss: 2.0608 (2.0523) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [1] [180/240] eta: 0:00:26 lr: 0.000001 loss: 2.0685 (2.0537) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [1] [190/240] eta: 0:00:22 lr: 0.000001 loss: 2.0402 (2.0511) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [1] [200/240] eta: 0:00:17 lr: 0.000001 loss: 1.8995 (2.0459) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [1] [210/240] eta: 0:00:13 lr: 0.000001 loss: 1.8599 (2.0370) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [1] [220/240] eta: 0:00:08 lr: 0.000001 loss: 1.8020 (2.0294) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [1] [230/240] eta: 0:00:04 lr: 0.000001 loss: 1.9661 (2.0278) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [1] [239/240] eta: 0:00:00 lr: 0.000001 loss: 2.0277 (2.0254) time: 0.4361 data: 0.0001 max mem: 20904
Epoch: [1] Total time: 0:01:45 (0.4414 s / it)
Averaged stats: lr: 0.000001 loss: 2.0277 (1.9704)
Test: [ 0/76] eta: 0:02:36 loss: 3.0020 (3.0020) acc1: 0.0000 (0.0000) acc5: 0.0000 (0.0000) time: 2.0658 data: 1.8266 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 2.0098 (2.3445) acc1: 8.3333 (6.0606) acc5: 91.6667 (60.6061) time: 0.3954 data: 0.1662 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 1.9104 (1.8432) acc1: 16.6667 (42.4603) acc5: 100.0000 (78.5714) time: 0.2279 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 2.0257 (2.1378) acc1: 0.0000 (28.7634) acc5: 33.3333 (55.3763) time: 0.2271 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 2.6545 (2.0982) acc1: 0.0000 (35.3659) acc5: 8.3333 (57.7236) time: 0.2286 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 2.2759 (2.1315) acc1: 0.0000 (33.9869) acc5: 25.0000 (52.9412) time: 0.2291 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 1.5738 (2.0414) acc1: 50.0000 (40.1639) acc5: 100.0000 (60.5191) time: 0.2266 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 1.8256 (2.0331) acc1: 8.3333 (35.2113) acc5: 100.0000 (66.0798) time: 0.2217 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 1.8825 (2.0169) acc1: 8.3333 (33.8106) acc5: 100.0000 (68.1718) time: 0.2167 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2505 s / it)
* Acc@1 36.399 Acc@5 76.046 loss 1.925
Accuracy of the network on the 908 test images: 36.4%
Max accuracy: 36.40%
Epoch: [2] [ 0/240] eta: 0:08:05 lr: 0.000007 loss: 2.2993 (2.2993) time: 2.0234 data: 1.5826 max mem: 20904
Epoch: [2] [ 10/240] eta: 0:02:13 lr: 0.000007 loss: 2.1338 (2.0134) time: 0.5821 data: 0.1440 max mem: 20904
Epoch: [2] [ 20/240] eta: 0:01:52 lr: 0.000007 loss: 2.0224 (2.0132) time: 0.4376 data: 0.0001 max mem: 20904
Epoch: [2] [ 30/240] eta: 0:01:42 lr: 0.000007 loss: 1.9322 (1.9817) time: 0.4360 data: 0.0001 max mem: 20904
Epoch: [2] [ 40/240] eta: 0:01:34 lr: 0.000007 loss: 1.9116 (1.9678) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [2] [ 50/240] eta: 0:01:28 lr: 0.000007 loss: 1.9310 (1.9438) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [2] [ 60/240] eta: 0:01:23 lr: 0.000007 loss: 1.9310 (1.9349) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [2] [ 70/240] eta: 0:01:17 lr: 0.000007 loss: 1.8087 (1.9059) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [2] [ 80/240] eta: 0:01:12 lr: 0.000007 loss: 1.6223 (1.8696) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [2] [ 90/240] eta: 0:01:07 lr: 0.000007 loss: 1.6858 (1.8603) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [2] [100/240] eta: 0:01:03 lr: 0.000007 loss: 1.8208 (1.8501) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [2] [110/240] eta: 0:00:58 lr: 0.000007 loss: 1.8152 (1.8489) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [2] [120/240] eta: 0:00:53 lr: 0.000007 loss: 1.8152 (1.8405) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [2] [130/240] eta: 0:00:49 lr: 0.000007 loss: 1.7833 (1.8172) time: 0.4379 data: 0.0001 max mem: 20904
Epoch: [2] [140/240] eta: 0:00:44 lr: 0.000007 loss: 1.5634 (1.7964) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [2] [150/240] eta: 0:00:40 lr: 0.000007 loss: 1.5389 (1.7902) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [2] [160/240] eta: 0:00:35 lr: 0.000007 loss: 1.6172 (1.7779) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [2] [170/240] eta: 0:00:31 lr: 0.000007 loss: 1.6361 (1.7712) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [2] [180/240] eta: 0:00:26 lr: 0.000007 loss: 1.6114 (1.7590) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [2] [190/240] eta: 0:00:22 lr: 0.000007 loss: 1.6048 (1.7505) time: 0.4358 data: 0.0001 max mem: 20904
Epoch: [2] [200/240] eta: 0:00:17 lr: 0.000007 loss: 1.5975 (1.7404) time: 0.4363 data: 0.0001 max mem: 20904
Epoch: [2] [210/240] eta: 0:00:13 lr: 0.000007 loss: 1.5455 (1.7294) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [2] [220/240] eta: 0:00:08 lr: 0.000007 loss: 1.5775 (1.7227) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [2] [230/240] eta: 0:00:04 lr: 0.000007 loss: 1.5447 (1.7104) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [2] [239/240] eta: 0:00:00 lr: 0.000007 loss: 1.4346 (1.7013) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [2] Total time: 0:01:46 (0.4422 s / it)
Averaged stats: lr: 0.000007 loss: 1.4346 (1.6788)
Test: [ 0/76] eta: 0:02:32 loss: 2.7105 (2.7105) acc1: 0.0000 (0.0000) acc5: 33.3333 (33.3333) time: 2.0062 data: 1.7902 max mem: 20904
Test: [10/76] eta: 0:00:27 loss: 0.9316 (1.5729) acc1: 91.6667 (60.6061) acc5: 100.0000 (78.7879) time: 0.4173 data: 0.1883 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.8343 (1.1437) acc1: 91.6667 (74.6032) acc5: 100.0000 (88.8889) time: 0.2435 data: 0.0141 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.9452 (1.2590) acc1: 83.3333 (69.8925) acc5: 100.0000 (92.4731) time: 0.2319 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 1.4021 (1.2223) acc1: 83.3333 (74.1870) acc5: 100.0000 (94.3089) time: 0.2321 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 1.4341 (1.3053) acc1: 83.3333 (66.3399) acc5: 100.0000 (93.7909) time: 0.2281 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.7353 (1.1997) acc1: 83.3333 (70.6284) acc5: 100.0000 (94.8087) time: 0.2292 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.7262 (1.1642) acc1: 91.6667 (73.3568) acc5: 100.0000 (95.4225) time: 0.2247 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.5687 (1.1209) acc1: 91.6667 (75.0000) acc5: 100.0000 (95.7048) time: 0.2176 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2557 s / it)
* Acc@1 76.707 Acc@5 97.026 loss 1.057
Accuracy of the network on the 908 test images: 76.7%
Max accuracy: 76.71%
Epoch: [3] [ 0/240] eta: 0:05:50 lr: 0.000013 loss: 1.4253 (1.4253) time: 1.4615 data: 0.9937 max mem: 20904
Epoch: [3] [ 10/240] eta: 0:02:02 lr: 0.000013 loss: 1.4253 (1.3541) time: 0.5335 data: 0.0904 max mem: 20904
Epoch: [3] [ 20/240] eta: 0:01:46 lr: 0.000013 loss: 1.4346 (1.4027) time: 0.4375 data: 0.0001 max mem: 20904
Epoch: [3] [ 30/240] eta: 0:01:38 lr: 0.000013 loss: 1.4364 (1.3905) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [3] [ 40/240] eta: 0:01:32 lr: 0.000013 loss: 1.4297 (1.4289) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [3] [ 50/240] eta: 0:01:26 lr: 0.000013 loss: 1.5290 (1.4478) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [3] [ 60/240] eta: 0:01:21 lr: 0.000013 loss: 1.5658 (1.4693) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [3] [ 70/240] eta: 0:01:16 lr: 0.000013 loss: 1.5013 (1.4631) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [3] [ 80/240] eta: 0:01:11 lr: 0.000013 loss: 1.4899 (1.4703) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [3] [ 90/240] eta: 0:01:06 lr: 0.000013 loss: 1.3574 (1.4391) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [3] [100/240] eta: 0:01:02 lr: 0.000013 loss: 1.2686 (1.4291) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [3] [110/240] eta: 0:00:57 lr: 0.000013 loss: 1.2888 (1.4205) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [3] [120/240] eta: 0:00:53 lr: 0.000013 loss: 1.2576 (1.4101) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [3] [130/240] eta: 0:00:48 lr: 0.000013 loss: 1.2430 (1.3924) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [3] [140/240] eta: 0:00:44 lr: 0.000013 loss: 1.2430 (1.3919) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [3] [150/240] eta: 0:00:39 lr: 0.000013 loss: 1.3534 (1.3809) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [3] [160/240] eta: 0:00:35 lr: 0.000013 loss: 1.2721 (1.3749) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [3] [170/240] eta: 0:00:30 lr: 0.000013 loss: 1.2561 (1.3666) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [3] [180/240] eta: 0:00:26 lr: 0.000013 loss: 1.2708 (1.3626) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [3] [190/240] eta: 0:00:22 lr: 0.000013 loss: 1.2830 (1.3626) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [3] [200/240] eta: 0:00:17 lr: 0.000013 loss: 1.3636 (1.3598) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [3] [210/240] eta: 0:00:13 lr: 0.000013 loss: 1.3746 (1.3615) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [3] [220/240] eta: 0:00:08 lr: 0.000013 loss: 1.2569 (1.3546) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [3] [230/240] eta: 0:00:04 lr: 0.000013 loss: 1.0753 (1.3412) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [3] [239/240] eta: 0:00:00 lr: 0.000013 loss: 1.1099 (1.3388) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [3] Total time: 0:01:45 (0.4393 s / it)
Averaged stats: lr: 0.000013 loss: 1.1099 (1.3040)
Test: [ 0/76] eta: 0:03:19 loss: 2.1497 (2.1497) acc1: 16.6667 (16.6667) acc5: 91.6667 (91.6667) time: 2.6288 data: 2.3956 max mem: 20904
Test: [10/76] eta: 0:00:29 loss: 0.4308 (0.9922) acc1: 100.0000 (71.2121) acc5: 100.0000 (98.4848) time: 0.4503 data: 0.2179 max mem: 20904
Test: [20/76] eta: 0:00:19 loss: 0.3436 (0.6783) acc1: 100.0000 (83.3333) acc5: 100.0000 (99.2063) time: 0.2287 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:14 loss: 0.3943 (0.7787) acc1: 100.0000 (81.1828) acc5: 100.0000 (99.4624) time: 0.2249 data: 0.0002 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.4919 (0.7170) acc1: 91.6667 (84.1463) acc5: 100.0000 (99.3902) time: 0.2276 data: 0.0002 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.6554 (0.7402) acc1: 83.3333 (83.1699) acc5: 100.0000 (99.5098) time: 0.2276 data: 0.0003 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.3656 (0.6760) acc1: 91.6667 (85.3825) acc5: 100.0000 (99.5902) time: 0.2252 data: 0.0003 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.3555 (0.6441) acc1: 100.0000 (86.8545) acc5: 100.0000 (99.6479) time: 0.2216 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.4217 (0.6352) acc1: 100.0000 (87.6652) acc5: 100.0000 (99.6696) time: 0.2164 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2574 s / it)
* Acc@1 87.665 Acc@5 99.780 loss 0.607
Accuracy of the network on the 908 test images: 87.7%
Max accuracy: 87.67%
Epoch: [4] [ 0/240] eta: 0:07:32 lr: 0.000019 loss: 1.4997 (1.4997) time: 1.8871 data: 1.4356 max mem: 20904
Epoch: [4] [ 10/240] eta: 0:02:10 lr: 0.000019 loss: 1.3457 (1.3395) time: 0.5694 data: 0.1306 max mem: 20904
Epoch: [4] [ 20/240] eta: 0:01:51 lr: 0.000019 loss: 1.3457 (1.3342) time: 0.4365 data: 0.0001 max mem: 20904
Epoch: [4] [ 30/240] eta: 0:01:41 lr: 0.000019 loss: 1.3924 (1.3244) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [4] [ 40/240] eta: 0:01:34 lr: 0.000019 loss: 1.0909 (1.2795) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [4] [ 50/240] eta: 0:01:28 lr: 0.000019 loss: 1.2774 (1.3102) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [4] [ 60/240] eta: 0:01:22 lr: 0.000019 loss: 1.2754 (1.3020) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [4] [ 70/240] eta: 0:01:17 lr: 0.000019 loss: 1.0839 (1.2803) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [4] [ 80/240] eta: 0:01:12 lr: 0.000019 loss: 1.2005 (1.2704) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [4] [ 90/240] eta: 0:01:07 lr: 0.000019 loss: 1.2131 (1.2721) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [4] [100/240] eta: 0:01:02 lr: 0.000019 loss: 1.2159 (1.2748) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [4] [110/240] eta: 0:00:58 lr: 0.000019 loss: 1.2159 (1.2712) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [4] [120/240] eta: 0:00:53 lr: 0.000019 loss: 1.2523 (1.2676) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [4] [130/240] eta: 0:00:49 lr: 0.000019 loss: 1.2913 (1.2737) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [4] [140/240] eta: 0:00:44 lr: 0.000019 loss: 1.1474 (1.2624) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [4] [150/240] eta: 0:00:39 lr: 0.000019 loss: 1.1259 (1.2608) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [4] [160/240] eta: 0:00:35 lr: 0.000019 loss: 1.2752 (1.2681) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [4] [170/240] eta: 0:00:31 lr: 0.000019 loss: 1.2119 (1.2630) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [4] [180/240] eta: 0:00:26 lr: 0.000019 loss: 1.1082 (1.2526) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [4] [190/240] eta: 0:00:22 lr: 0.000019 loss: 1.1246 (1.2515) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [4] [200/240] eta: 0:00:17 lr: 0.000019 loss: 1.1998 (1.2480) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [4] [210/240] eta: 0:00:13 lr: 0.000019 loss: 1.1245 (1.2432) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [4] [220/240] eta: 0:00:08 lr: 0.000019 loss: 1.0458 (1.2440) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [4] [230/240] eta: 0:00:04 lr: 0.000019 loss: 1.1750 (1.2441) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [4] [239/240] eta: 0:00:00 lr: 0.000019 loss: 1.2033 (1.2452) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [4] Total time: 0:01:45 (0.4413 s / it)
Averaged stats: lr: 0.000019 loss: 1.2033 (1.2134)
Test: [ 0/76] eta: 0:02:19 loss: 0.7421 (0.7421) acc1: 83.3333 (83.3333) acc5: 100.0000 (100.0000) time: 1.8297 data: 1.5813 max mem: 20904
Test: [10/76] eta: 0:00:25 loss: 0.2825 (0.4176) acc1: 100.0000 (93.9394) acc5: 100.0000 (100.0000) time: 0.3816 data: 0.1524 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.2825 (0.3791) acc1: 100.0000 (94.0476) acc5: 100.0000 (100.0000) time: 0.2333 data: 0.0048 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.3420 (0.6627) acc1: 91.6667 (81.4516) acc5: 100.0000 (99.7312) time: 0.2308 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.3107 (0.5702) acc1: 91.6667 (85.3659) acc5: 100.0000 (99.7967) time: 0.2292 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.3194 (0.5933) acc1: 91.6667 (85.2941) acc5: 100.0000 (99.8366) time: 0.2276 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.2697 (0.5366) acc1: 91.6667 (87.2951) acc5: 100.0000 (99.8634) time: 0.2295 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1963 (0.4895) acc1: 100.0000 (88.9671) acc5: 100.0000 (99.8826) time: 0.2250 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1808 (0.4670) acc1: 100.0000 (89.6476) acc5: 100.0000 (99.8899) time: 0.2191 data: 0.0001 max mem: 20904
Test: Total time: 0:00:18 (0.2499 s / it)
* Acc@1 92.291 Acc@5 99.890 loss 0.405
Accuracy of the network on the 908 test images: 92.3%
Max accuracy: 92.29%
Epoch: [5] [ 0/240] eta: 0:06:26 lr: 0.000025 loss: 1.2235 (1.2235) time: 1.6106 data: 1.1536 max mem: 20904
Epoch: [5] [ 10/240] eta: 0:02:06 lr: 0.000025 loss: 1.2097 (1.1058) time: 0.5499 data: 0.1050 max mem: 20904
Epoch: [5] [ 20/240] eta: 0:01:49 lr: 0.000025 loss: 1.0914 (1.1282) time: 0.4398 data: 0.0001 max mem: 20904
Epoch: [5] [ 30/240] eta: 0:01:40 lr: 0.000025 loss: 1.0612 (1.0916) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [5] [ 40/240] eta: 0:01:33 lr: 0.000025 loss: 1.0612 (1.0974) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [5] [ 50/240] eta: 0:01:27 lr: 0.000025 loss: 1.0805 (1.0950) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [5] [ 60/240] eta: 0:01:21 lr: 0.000025 loss: 1.0651 (1.1117) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [5] [ 70/240] eta: 0:01:16 lr: 0.000025 loss: 1.0651 (1.1274) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [5] [ 80/240] eta: 0:01:12 lr: 0.000025 loss: 1.1892 (1.1428) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [5] [ 90/240] eta: 0:01:07 lr: 0.000025 loss: 1.1892 (1.1450) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [5] [100/240] eta: 0:01:02 lr: 0.000025 loss: 1.2042 (1.1639) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [5] [110/240] eta: 0:00:57 lr: 0.000025 loss: 1.3071 (1.1460) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [5] [120/240] eta: 0:00:53 lr: 0.000025 loss: 0.8866 (1.1337) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [5] [130/240] eta: 0:00:48 lr: 0.000025 loss: 1.0892 (1.1354) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [5] [140/240] eta: 0:00:44 lr: 0.000025 loss: 1.1668 (1.1362) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [5] [150/240] eta: 0:00:39 lr: 0.000025 loss: 1.1662 (1.1371) time: 0.4355 data: 0.0001 max mem: 20904
Epoch: [5] [160/240] eta: 0:00:35 lr: 0.000025 loss: 1.1591 (1.1383) time: 0.4365 data: 0.0001 max mem: 20904
Epoch: [5] [170/240] eta: 0:00:30 lr: 0.000025 loss: 1.2873 (1.1515) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [5] [180/240] eta: 0:00:26 lr: 0.000025 loss: 1.3139 (1.1551) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [5] [190/240] eta: 0:00:22 lr: 0.000025 loss: 1.1220 (1.1511) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [5] [200/240] eta: 0:00:17 lr: 0.000025 loss: 1.0485 (1.1476) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [5] [210/240] eta: 0:00:13 lr: 0.000025 loss: 1.0967 (1.1509) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [5] [220/240] eta: 0:00:08 lr: 0.000025 loss: 1.0933 (1.1470) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [5] [230/240] eta: 0:00:04 lr: 0.000025 loss: 1.0014 (1.1437) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [5] [239/240] eta: 0:00:00 lr: 0.000025 loss: 1.0417 (1.1424) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [5] Total time: 0:01:45 (0.4402 s / it)
Averaged stats: lr: 0.000025 loss: 1.0417 (1.1225)
Test: [ 0/76] eta: 0:02:26 loss: 0.7167 (0.7167) acc1: 83.3333 (83.3333) acc5: 100.0000 (100.0000) time: 1.9311 data: 1.7158 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.2514 (0.3872) acc1: 100.0000 (91.6667) acc5: 100.0000 (100.0000) time: 0.3976 data: 0.1708 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.2239 (0.3080) acc1: 100.0000 (95.2381) acc5: 100.0000 (100.0000) time: 0.2360 data: 0.0082 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.2338 (0.3425) acc1: 100.0000 (95.6989) acc5: 100.0000 (100.0000) time: 0.2258 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.2959 (0.3266) acc1: 100.0000 (95.3252) acc5: 100.0000 (100.0000) time: 0.2259 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.2959 (0.3420) acc1: 91.6667 (93.7909) acc5: 100.0000 (100.0000) time: 0.2266 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.3392 (0.3397) acc1: 91.6667 (94.1257) acc5: 100.0000 (100.0000) time: 0.2286 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.2630 (0.3189) acc1: 100.0000 (94.9531) acc5: 100.0000 (100.0000) time: 0.2248 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1996 (0.3151) acc1: 100.0000 (95.2643) acc5: 100.0000 (100.0000) time: 0.2168 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2503 s / it)
* Acc@1 95.595 Acc@5 100.000 loss 0.313
Accuracy of the network on the 908 test images: 95.6%
Max accuracy: 95.59%
Epoch: [6] [ 0/240] eta: 0:06:53 lr: 0.000031 loss: 0.7038 (0.7038) time: 1.7232 data: 1.2482 max mem: 20904
Epoch: [6] [ 10/240] eta: 0:02:08 lr: 0.000031 loss: 0.9499 (1.0678) time: 0.5584 data: 0.1136 max mem: 20904
Epoch: [6] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 1.1902 (1.1314) time: 0.4381 data: 0.0001 max mem: 20904
Epoch: [6] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 1.0695 (1.0845) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [6] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.9823 (1.0521) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [6] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.8547 (1.0142) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [6] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9165 (1.0224) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [6] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 1.1046 (1.0378) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [6] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 1.1077 (1.0551) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [6] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 1.0483 (1.0462) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [6] [100/240] eta: 0:01:02 lr: 0.000031 loss: 1.0982 (1.0543) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [6] [110/240] eta: 0:00:58 lr: 0.000031 loss: 1.0982 (1.0504) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [6] [120/240] eta: 0:00:53 lr: 0.000031 loss: 1.0652 (1.0413) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [6] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9016 (1.0339) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [6] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9100 (1.0306) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [6] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9618 (1.0309) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [6] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9703 (1.0309) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [6] [170/240] eta: 0:00:30 lr: 0.000031 loss: 1.0430 (1.0373) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [6] [180/240] eta: 0:00:26 lr: 0.000031 loss: 1.0430 (1.0416) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [6] [190/240] eta: 0:00:22 lr: 0.000031 loss: 1.0144 (1.0450) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [6] [200/240] eta: 0:00:17 lr: 0.000031 loss: 1.0981 (1.0490) time: 0.4362 data: 0.0001 max mem: 20904
Epoch: [6] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9700 (1.0410) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [6] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8997 (1.0352) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [6] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9771 (1.0355) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [6] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9918 (1.0375) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [6] Total time: 0:01:45 (0.4408 s / it)
Averaged stats: lr: 0.000031 loss: 0.9918 (1.0565)
Test: [ 0/76] eta: 0:03:07 loss: 0.5720 (0.5720) acc1: 83.3333 (83.3333) acc5: 100.0000 (100.0000) time: 2.4721 data: 2.2425 max mem: 20904
Test: [10/76] eta: 0:00:28 loss: 0.0899 (0.2495) acc1: 100.0000 (93.1818) acc5: 100.0000 (100.0000) time: 0.4331 data: 0.2040 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1171 (0.2071) acc1: 100.0000 (95.6349) acc5: 100.0000 (100.0000) time: 0.2272 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.2327 (0.3877) acc1: 100.0000 (88.1720) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.2042 (0.3332) acc1: 100.0000 (90.8537) acc5: 100.0000 (100.0000) time: 0.2274 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.1835 (0.3463) acc1: 100.0000 (91.5033) acc5: 100.0000 (100.0000) time: 0.2262 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.2287 (0.3200) acc1: 100.0000 (92.6230) acc5: 100.0000 (100.0000) time: 0.2260 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1720 (0.3012) acc1: 100.0000 (93.4272) acc5: 100.0000 (100.0000) time: 0.2233 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1507 (0.2892) acc1: 100.0000 (93.8326) acc5: 100.0000 (100.0000) time: 0.2172 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2555 s / it)
* Acc@1 94.163 Acc@5 100.000 loss 0.284
Accuracy of the network on the 908 test images: 94.2%
Max accuracy: 95.59%
Epoch: [7] [ 0/240] eta: 0:09:00 lr: 0.000031 loss: 0.7722 (0.7722) time: 2.2503 data: 1.7925 max mem: 20904
Epoch: [7] [ 10/240] eta: 0:02:18 lr: 0.000031 loss: 0.8929 (1.0919) time: 0.6016 data: 0.1630 max mem: 20904
Epoch: [7] [ 20/240] eta: 0:01:55 lr: 0.000031 loss: 1.0761 (1.0824) time: 0.4366 data: 0.0001 max mem: 20904
Epoch: [7] [ 30/240] eta: 0:01:44 lr: 0.000031 loss: 1.0230 (1.0484) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [7] [ 40/240] eta: 0:01:36 lr: 0.000031 loss: 0.9389 (1.0188) time: 0.4371 data: 0.0001 max mem: 20904
Epoch: [7] [ 50/240] eta: 0:01:29 lr: 0.000031 loss: 1.0314 (1.0499) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [7] [ 60/240] eta: 0:01:23 lr: 0.000031 loss: 1.0661 (1.0382) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [7] [ 70/240] eta: 0:01:18 lr: 0.000031 loss: 0.9489 (1.0451) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [7] [ 80/240] eta: 0:01:13 lr: 0.000031 loss: 1.0989 (1.0541) time: 0.4381 data: 0.0001 max mem: 20904
Epoch: [7] [ 90/240] eta: 0:01:08 lr: 0.000031 loss: 1.2060 (1.0640) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [7] [100/240] eta: 0:01:03 lr: 0.000031 loss: 1.1634 (1.0613) time: 0.4358 data: 0.0001 max mem: 20904
Epoch: [7] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9674 (1.0524) time: 0.4378 data: 0.0001 max mem: 20904
Epoch: [7] [120/240] eta: 0:00:54 lr: 0.000031 loss: 1.0033 (1.0613) time: 0.4403 data: 0.0001 max mem: 20904
Epoch: [7] [130/240] eta: 0:00:49 lr: 0.000031 loss: 1.0207 (1.0514) time: 0.4407 data: 0.0001 max mem: 20904
Epoch: [7] [140/240] eta: 0:00:45 lr: 0.000031 loss: 1.0380 (1.0534) time: 0.4401 data: 0.0001 max mem: 20904
Epoch: [7] [150/240] eta: 0:00:40 lr: 0.000031 loss: 1.0461 (1.0544) time: 0.4391 data: 0.0001 max mem: 20904
Epoch: [7] [160/240] eta: 0:00:35 lr: 0.000031 loss: 1.0155 (1.0499) time: 0.4400 data: 0.0001 max mem: 20904
Epoch: [7] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.8462 (1.0428) time: 0.4408 data: 0.0001 max mem: 20904
Epoch: [7] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9533 (1.0438) time: 0.4400 data: 0.0001 max mem: 20904
Epoch: [7] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8658 (1.0388) time: 0.4390 data: 0.0001 max mem: 20904
Epoch: [7] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9412 (1.0436) time: 0.4403 data: 0.0001 max mem: 20904
Epoch: [7] [210/240] eta: 0:00:13 lr: 0.000031 loss: 1.0122 (1.0404) time: 0.4411 data: 0.0001 max mem: 20904
Epoch: [7] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.9472 (1.0385) time: 0.4372 data: 0.0001 max mem: 20904
Epoch: [7] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9699 (1.0382) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [7] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9506 (1.0300) time: 0.4331 data: 0.0001 max mem: 20904
Epoch: [7] Total time: 0:01:47 (0.4459 s / it)
Averaged stats: lr: 0.000031 loss: 0.9506 (0.9989)
Test: [ 0/76] eta: 0:03:07 loss: 0.8033 (0.8033) acc1: 83.3333 (83.3333) acc5: 100.0000 (100.0000) time: 2.4668 data: 2.2336 max mem: 20904
Test: [10/76] eta: 0:00:28 loss: 0.1041 (0.3410) acc1: 100.0000 (90.1515) acc5: 100.0000 (100.0000) time: 0.4348 data: 0.2032 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1026 (0.2371) acc1: 100.0000 (94.4444) acc5: 100.0000 (100.0000) time: 0.2292 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1548 (0.3006) acc1: 100.0000 (93.5484) acc5: 100.0000 (100.0000) time: 0.2285 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.1808 (0.2645) acc1: 100.0000 (94.9187) acc5: 100.0000 (100.0000) time: 0.2322 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.1423 (0.2563) acc1: 100.0000 (95.4248) acc5: 100.0000 (100.0000) time: 0.2327 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1398 (0.2386) acc1: 100.0000 (95.6284) acc5: 100.0000 (100.0000) time: 0.2298 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1282 (0.2285) acc1: 100.0000 (96.0094) acc5: 100.0000 (100.0000) time: 0.2266 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1233 (0.2199) acc1: 100.0000 (96.2555) acc5: 100.0000 (100.0000) time: 0.2199 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2590 s / it)
* Acc@1 96.806 Acc@5 100.000 loss 0.211
Accuracy of the network on the 908 test images: 96.8%
Max accuracy: 96.81%
Epoch: [8] [ 0/240] eta: 0:07:08 lr: 0.000031 loss: 0.9128 (0.9128) time: 1.7870 data: 1.3506 max mem: 20904
Epoch: [8] [ 10/240] eta: 0:02:08 lr: 0.000031 loss: 0.9573 (0.9699) time: 0.5588 data: 0.1229 max mem: 20904
Epoch: [8] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 0.9718 (0.9850) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [8] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.9500 (0.9647) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [8] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.9619 (0.9644) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [8] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 1.0203 (0.9438) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [8] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8227 (0.9426) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [8] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9179 (0.9451) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [8] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9880 (0.9505) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [8] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 1.0837 (0.9661) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [8] [100/240] eta: 0:01:02 lr: 0.000031 loss: 1.0458 (0.9680) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [8] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9648 (0.9680) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [8] [120/240] eta: 0:00:53 lr: 0.000031 loss: 1.0310 (0.9733) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [8] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9625 (0.9688) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [8] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.8968 (0.9691) time: 0.4363 data: 0.0001 max mem: 20904
Epoch: [8] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.8765 (0.9655) time: 0.4360 data: 0.0001 max mem: 20904
Epoch: [8] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8649 (0.9669) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [8] [170/240] eta: 0:00:30 lr: 0.000031 loss: 1.1107 (0.9758) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [8] [180/240] eta: 0:00:26 lr: 0.000031 loss: 1.0078 (0.9724) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [8] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8875 (0.9737) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [8] [200/240] eta: 0:00:17 lr: 0.000031 loss: 1.0931 (0.9772) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [8] [210/240] eta: 0:00:13 lr: 0.000031 loss: 1.0407 (0.9798) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [8] [220/240] eta: 0:00:08 lr: 0.000031 loss: 1.0407 (0.9865) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [8] [230/240] eta: 0:00:04 lr: 0.000031 loss: 1.0843 (0.9872) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [8] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9187 (0.9834) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [8] Total time: 0:01:45 (0.4404 s / it)
Averaged stats: lr: 0.000031 loss: 0.9187 (0.9777)
Test: [ 0/76] eta: 0:02:34 loss: 0.4372 (0.4372) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.0296 data: 1.8035 max mem: 20904
Test: [10/76] eta: 0:00:25 loss: 0.1554 (0.2449) acc1: 100.0000 (96.2121) acc5: 100.0000 (100.0000) time: 0.3930 data: 0.1641 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1320 (0.1915) acc1: 100.0000 (97.6190) acc5: 100.0000 (100.0000) time: 0.2269 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1320 (0.2032) acc1: 100.0000 (97.5806) acc5: 100.0000 (100.0000) time: 0.2253 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1475 (0.1862) acc1: 100.0000 (97.9675) acc5: 100.0000 (100.0000) time: 0.2245 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1440 (0.1938) acc1: 100.0000 (97.7124) acc5: 100.0000 (100.0000) time: 0.2259 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1547 (0.1876) acc1: 100.0000 (97.6776) acc5: 100.0000 (100.0000) time: 0.2271 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1497 (0.1865) acc1: 100.0000 (97.7700) acc5: 100.0000 (100.0000) time: 0.2224 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1177 (0.1813) acc1: 100.0000 (97.9075) acc5: 100.0000 (100.0000) time: 0.2159 data: 0.0001 max mem: 20904
Test: Total time: 0:00:18 (0.2494 s / it)
* Acc@1 98.018 Acc@5 100.000 loss 0.180
Accuracy of the network on the 908 test images: 98.0%
Max accuracy: 98.02%
Epoch: [9] [ 0/240] eta: 0:07:27 lr: 0.000031 loss: 0.6885 (0.6885) time: 1.8634 data: 1.3994 max mem: 20904
Epoch: [9] [ 10/240] eta: 0:02:10 lr: 0.000031 loss: 0.9829 (0.9904) time: 0.5678 data: 0.1273 max mem: 20904
Epoch: [9] [ 20/240] eta: 0:01:51 lr: 0.000031 loss: 0.9829 (0.9791) time: 0.4366 data: 0.0001 max mem: 20904
Epoch: [9] [ 30/240] eta: 0:01:41 lr: 0.000031 loss: 1.0345 (1.0044) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [9] [ 40/240] eta: 0:01:34 lr: 0.000031 loss: 1.0278 (0.9800) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [9] [ 50/240] eta: 0:01:28 lr: 0.000031 loss: 0.8729 (0.9707) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [9] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9950 (0.9752) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [9] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9729 (0.9654) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [9] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.8157 (0.9622) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [9] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9431 (0.9593) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [9] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.9761 (0.9657) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [9] [110/240] eta: 0:00:58 lr: 0.000031 loss: 1.0389 (0.9716) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [9] [120/240] eta: 0:00:53 lr: 0.000031 loss: 1.0657 (0.9765) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [9] [130/240] eta: 0:00:49 lr: 0.000031 loss: 1.0657 (0.9740) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [9] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9107 (0.9678) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [9] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9379 (0.9616) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [9] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9592 (0.9668) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [9] [170/240] eta: 0:00:31 lr: 0.000031 loss: 1.0797 (0.9704) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [9] [180/240] eta: 0:00:26 lr: 0.000031 loss: 1.0415 (0.9687) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [9] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9980 (0.9690) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [9] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9980 (0.9682) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [9] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9382 (0.9668) time: 0.4361 data: 0.0001 max mem: 20904
Epoch: [9] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.9337 (0.9641) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [9] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9094 (0.9598) time: 0.4394 data: 0.0001 max mem: 20904
Epoch: [9] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9185 (0.9595) time: 0.4375 data: 0.0001 max mem: 20904
Epoch: [9] Total time: 0:01:45 (0.4417 s / it)
Averaged stats: lr: 0.000031 loss: 0.9185 (0.9624)
Test: [ 0/76] eta: 0:02:54 loss: 0.4065 (0.4065) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.2982 data: 2.0659 max mem: 20904
Test: [10/76] eta: 0:00:27 loss: 0.1152 (0.2171) acc1: 100.0000 (96.2121) acc5: 100.0000 (100.0000) time: 0.4163 data: 0.1879 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1402 (0.1932) acc1: 100.0000 (97.2222) acc5: 100.0000 (100.0000) time: 0.2263 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1710 (0.2012) acc1: 100.0000 (97.5806) acc5: 100.0000 (100.0000) time: 0.2258 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.2202 (0.2024) acc1: 100.0000 (97.7642) acc5: 100.0000 (100.0000) time: 0.2273 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.2000 (0.2130) acc1: 100.0000 (96.7320) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1228 (0.1948) acc1: 100.0000 (97.2678) acc5: 100.0000 (100.0000) time: 0.2237 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1091 (0.1847) acc1: 100.0000 (97.6526) acc5: 100.0000 (100.0000) time: 0.2192 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1091 (0.1793) acc1: 100.0000 (97.7974) acc5: 100.0000 (100.0000) time: 0.2145 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2526 s / it)
* Acc@1 97.577 Acc@5 100.000 loss 0.187
Accuracy of the network on the 908 test images: 97.6%
Max accuracy: 98.02%
Epoch: [10] [ 0/240] eta: 0:06:22 lr: 0.000031 loss: 1.2962 (1.2962) time: 1.5931 data: 1.1453 max mem: 20904
Epoch: [10] [ 10/240] eta: 0:02:05 lr: 0.000031 loss: 0.9643 (1.0052) time: 0.5442 data: 0.1042 max mem: 20904
Epoch: [10] [ 20/240] eta: 0:01:48 lr: 0.000031 loss: 0.9642 (0.9804) time: 0.4364 data: 0.0001 max mem: 20904
Epoch: [10] [ 30/240] eta: 0:01:39 lr: 0.000031 loss: 0.9899 (0.9682) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [10] [ 40/240] eta: 0:01:32 lr: 0.000031 loss: 1.0198 (0.9796) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [10] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 1.0339 (0.9967) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [10] [ 60/240] eta: 0:01:21 lr: 0.000031 loss: 1.0284 (0.9925) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [ 70/240] eta: 0:01:16 lr: 0.000031 loss: 0.9415 (0.9878) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [ 80/240] eta: 0:01:11 lr: 0.000031 loss: 0.9373 (0.9797) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [10] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9464 (0.9777) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [10] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.9716 (0.9710) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [10] [110/240] eta: 0:00:57 lr: 0.000031 loss: 0.8442 (0.9655) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [10] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9326 (0.9740) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [130/240] eta: 0:00:48 lr: 0.000031 loss: 1.0643 (0.9823) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9866 (0.9804) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [10] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9866 (0.9853) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [10] [160/240] eta: 0:00:35 lr: 0.000031 loss: 1.0854 (0.9914) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [10] [170/240] eta: 0:00:30 lr: 0.000031 loss: 1.0224 (0.9914) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [10] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9734 (0.9928) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [10] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9627 (0.9870) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [10] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9166 (0.9843) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [10] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9154 (0.9767) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.9242 (0.9773) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [10] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9843 (0.9725) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [10] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9560 (0.9751) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [10] Total time: 0:01:45 (0.4398 s / it)
Averaged stats: lr: 0.000031 loss: 0.9560 (0.9590)
Test: [ 0/76] eta: 0:02:41 loss: 0.2488 (0.2488) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.1193 data: 1.8894 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1400 (0.2002) acc1: 100.0000 (97.7273) acc5: 100.0000 (100.0000) time: 0.4022 data: 0.1719 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1404 (0.1861) acc1: 100.0000 (98.0159) acc5: 100.0000 (100.0000) time: 0.2293 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1636 (0.1933) acc1: 100.0000 (97.8495) acc5: 100.0000 (100.0000) time: 0.2281 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1543 (0.1838) acc1: 100.0000 (98.1707) acc5: 100.0000 (100.0000) time: 0.2268 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1292 (0.1861) acc1: 100.0000 (97.7124) acc5: 100.0000 (100.0000) time: 0.2245 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1047 (0.1730) acc1: 100.0000 (97.6776) acc5: 100.0000 (100.0000) time: 0.2236 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.0994 (0.1675) acc1: 100.0000 (97.8873) acc5: 100.0000 (100.0000) time: 0.2228 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1289 (0.1665) acc1: 100.0000 (98.0176) acc5: 100.0000 (100.0000) time: 0.2163 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2511 s / it)
* Acc@1 98.238 Acc@5 100.000 loss 0.165
Accuracy of the network on the 908 test images: 98.2%
Max accuracy: 98.24%
Epoch: [11] [ 0/240] eta: 0:06:01 lr: 0.000031 loss: 0.8061 (0.8061) time: 1.5062 data: 1.0527 max mem: 20904
Epoch: [11] [ 10/240] eta: 0:02:03 lr: 0.000031 loss: 0.8780 (0.9572) time: 0.5363 data: 0.0958 max mem: 20904
Epoch: [11] [ 20/240] eta: 0:01:47 lr: 0.000031 loss: 1.0068 (0.9925) time: 0.4368 data: 0.0001 max mem: 20904
Epoch: [11] [ 30/240] eta: 0:01:38 lr: 0.000031 loss: 0.9929 (0.9824) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [11] [ 40/240] eta: 0:01:32 lr: 0.000031 loss: 1.0350 (0.9974) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [11] [ 50/240] eta: 0:01:26 lr: 0.000031 loss: 1.0689 (0.9946) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [11] [ 60/240] eta: 0:01:21 lr: 0.000031 loss: 0.9947 (0.9914) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [11] [ 70/240] eta: 0:01:16 lr: 0.000031 loss: 0.9666 (0.9922) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [11] [ 80/240] eta: 0:01:11 lr: 0.000031 loss: 0.9640 (0.9879) time: 0.4361 data: 0.0001 max mem: 20904
Epoch: [11] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9640 (0.9909) time: 0.4362 data: 0.0001 max mem: 20904
Epoch: [11] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8888 (0.9742) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [11] [110/240] eta: 0:00:57 lr: 0.000031 loss: 0.9048 (0.9687) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [11] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9397 (0.9658) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [11] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9275 (0.9663) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [11] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9016 (0.9584) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [11] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.7790 (0.9516) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [11] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8085 (0.9482) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [11] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.9501 (0.9504) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [11] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9979 (0.9511) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [11] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9507 (0.9513) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [11] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8522 (0.9455) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [11] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.8169 (0.9402) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [11] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.7863 (0.9342) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [11] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8622 (0.9365) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [11] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9551 (0.9374) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [11] Total time: 0:01:45 (0.4397 s / it)
Averaged stats: lr: 0.000031 loss: 0.9551 (0.9426)
Test: [ 0/76] eta: 0:02:51 loss: 0.1298 (0.1298) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.2553 data: 2.0250 max mem: 20904
Test: [10/76] eta: 0:00:27 loss: 0.1298 (0.1480) acc1: 100.0000 (99.2424) acc5: 100.0000 (100.0000) time: 0.4138 data: 0.1842 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1476 (0.1589) acc1: 100.0000 (98.8095) acc5: 100.0000 (100.0000) time: 0.2264 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1528 (0.1614) acc1: 100.0000 (98.9247) acc5: 100.0000 (100.0000) time: 0.2232 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1251 (0.1549) acc1: 100.0000 (98.9837) acc5: 100.0000 (100.0000) time: 0.2240 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1283 (0.1679) acc1: 100.0000 (98.6928) acc5: 100.0000 (100.0000) time: 0.2239 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1514 (0.1638) acc1: 100.0000 (98.6339) acc5: 100.0000 (100.0000) time: 0.2244 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1593 (0.1684) acc1: 100.0000 (98.7089) acc5: 100.0000 (100.0000) time: 0.2218 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1871 (0.1709) acc1: 100.0000 (98.7885) acc5: 100.0000 (100.0000) time: 0.2147 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2509 s / it)
* Acc@1 98.733 Acc@5 99.945 loss 0.170
Accuracy of the network on the 908 test images: 98.7%
Max accuracy: 98.73%
Epoch: [12] [ 0/240] eta: 0:07:09 lr: 0.000031 loss: 0.6537 (0.6537) time: 1.7904 data: 1.3159 max mem: 20904
Epoch: [12] [ 10/240] eta: 0:02:08 lr: 0.000031 loss: 0.8685 (0.8457) time: 0.5593 data: 0.1197 max mem: 20904
Epoch: [12] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 0.9209 (0.9122) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [12] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.9585 (0.9007) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [12] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8595 (0.9130) time: 0.4354 data: 0.0001 max mem: 20904
Epoch: [12] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.9389 (0.9231) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [12] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9970 (0.9421) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [12] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9730 (0.9285) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [12] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.8601 (0.9233) time: 0.4354 data: 0.0001 max mem: 20904
Epoch: [12] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9634 (0.9291) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [12] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.9697 (0.9350) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [12] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9599 (0.9365) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [12] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9013 (0.9301) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [12] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9504 (0.9385) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [12] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.8712 (0.9334) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [12] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.8567 (0.9253) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [12] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9472 (0.9263) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [12] [170/240] eta: 0:00:30 lr: 0.000031 loss: 1.0064 (0.9280) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [12] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8934 (0.9300) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [12] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8929 (0.9318) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [12] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8613 (0.9298) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [12] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.7995 (0.9232) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [12] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8300 (0.9256) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [12] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9831 (0.9249) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [12] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.8566 (0.9212) time: 0.4329 data: 0.0001 max mem: 20904
Epoch: [12] Total time: 0:01:45 (0.4406 s / it)
Averaged stats: lr: 0.000031 loss: 0.8566 (0.9245)
Test: [ 0/76] eta: 0:03:06 loss: 0.1649 (0.1649) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.4564 data: 2.2259 max mem: 20904
Test: [10/76] eta: 0:00:28 loss: 0.1174 (0.1607) acc1: 100.0000 (97.7273) acc5: 100.0000 (100.0000) time: 0.4316 data: 0.2025 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1167 (0.1430) acc1: 100.0000 (98.8095) acc5: 100.0000 (100.0000) time: 0.2263 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1247 (0.1855) acc1: 100.0000 (97.8495) acc5: 100.0000 (100.0000) time: 0.2252 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.1278 (0.1717) acc1: 100.0000 (98.1707) acc5: 100.0000 (100.0000) time: 0.2266 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.1278 (0.1818) acc1: 100.0000 (97.8758) acc5: 100.0000 (100.0000) time: 0.2269 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1215 (0.1735) acc1: 100.0000 (98.0874) acc5: 100.0000 (100.0000) time: 0.2256 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1388 (0.1738) acc1: 100.0000 (98.1221) acc5: 100.0000 (100.0000) time: 0.2216 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1377 (0.1709) acc1: 100.0000 (98.2379) acc5: 100.0000 (100.0000) time: 0.2164 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2545 s / it)
* Acc@1 98.018 Acc@5 100.000 loss 0.169
Accuracy of the network on the 908 test images: 98.0%
Max accuracy: 98.73%
Epoch: [13] [ 0/240] eta: 0:07:55 lr: 0.000031 loss: 0.8720 (0.8720) time: 1.9814 data: 1.5425 max mem: 20904
Epoch: [13] [ 10/240] eta: 0:02:12 lr: 0.000031 loss: 0.8720 (0.8635) time: 0.5769 data: 0.1403 max mem: 20904
Epoch: [13] [ 20/240] eta: 0:01:52 lr: 0.000031 loss: 0.7436 (0.8188) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [13] [ 30/240] eta: 0:01:41 lr: 0.000031 loss: 0.8662 (0.8518) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [13] [ 40/240] eta: 0:01:34 lr: 0.000031 loss: 0.9469 (0.8648) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [13] [ 50/240] eta: 0:01:28 lr: 0.000031 loss: 1.0207 (0.8924) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [13] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9994 (0.8987) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [13] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9650 (0.8982) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [13] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9797 (0.9125) time: 0.4375 data: 0.0001 max mem: 20904
Epoch: [13] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9797 (0.9122) time: 0.4371 data: 0.0001 max mem: 20904
Epoch: [13] [100/240] eta: 0:01:03 lr: 0.000031 loss: 0.8975 (0.9193) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.8975 (0.9206) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [13] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9868 (0.9252) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [13] [130/240] eta: 0:00:49 lr: 0.000031 loss: 0.9743 (0.9250) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [13] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9393 (0.9196) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [150/240] eta: 0:00:40 lr: 0.000031 loss: 0.8007 (0.9165) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8521 (0.9188) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.9566 (0.9184) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [13] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9152 (0.9194) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [13] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9152 (0.9199) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9881 (0.9214) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [13] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.7924 (0.9122) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [13] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.7448 (0.9078) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [13] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8351 (0.9086) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [13] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9356 (0.9077) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [13] Total time: 0:01:45 (0.4416 s / it)
Averaged stats: lr: 0.000031 loss: 0.9356 (0.9190)
Test: [ 0/76] eta: 0:02:36 loss: 0.1737 (0.1737) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.0602 data: 1.8276 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1144 (0.1547) acc1: 100.0000 (98.4848) acc5: 100.0000 (100.0000) time: 0.3943 data: 0.1663 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1099 (0.1378) acc1: 100.0000 (99.2063) acc5: 100.0000 (100.0000) time: 0.2271 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1520 (0.1543) acc1: 100.0000 (99.1935) acc5: 100.0000 (100.0000) time: 0.2289 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1419 (0.1509) acc1: 100.0000 (99.1870) acc5: 100.0000 (100.0000) time: 0.2277 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1344 (0.2106) acc1: 100.0000 (97.2222) acc5: 100.0000 (100.0000) time: 0.2268 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1314 (0.1981) acc1: 100.0000 (97.5410) acc5: 100.0000 (100.0000) time: 0.2290 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1148 (0.1911) acc1: 100.0000 (97.8873) acc5: 100.0000 (100.0000) time: 0.2252 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1108 (0.1852) acc1: 100.0000 (98.0176) acc5: 100.0000 (100.0000) time: 0.2184 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2514 s / it)
* Acc@1 98.018 Acc@5 100.000 loss 0.186
Accuracy of the network on the 908 test images: 98.0%
Max accuracy: 98.73%
Epoch: [14] [ 0/240] eta: 0:08:34 lr: 0.000031 loss: 0.9364 (0.9364) time: 2.1420 data: 1.6855 max mem: 20904
Epoch: [14] [ 10/240] eta: 0:02:15 lr: 0.000031 loss: 0.9364 (0.9104) time: 0.5912 data: 0.1533 max mem: 20904
Epoch: [14] [ 20/240] eta: 0:01:53 lr: 0.000031 loss: 0.9375 (0.9356) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [14] [ 30/240] eta: 0:01:42 lr: 0.000031 loss: 0.9652 (0.9463) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [14] [ 40/240] eta: 0:01:35 lr: 0.000031 loss: 0.9102 (0.9311) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [14] [ 50/240] eta: 0:01:28 lr: 0.000031 loss: 0.9202 (0.9255) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [14] [ 60/240] eta: 0:01:23 lr: 0.000031 loss: 0.9202 (0.9278) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [14] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.8672 (0.9201) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [14] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.8466 (0.9204) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [14] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9266 (0.9268) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [14] [100/240] eta: 0:01:03 lr: 0.000031 loss: 0.9610 (0.9266) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [14] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9516 (0.9190) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [14] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.8711 (0.9184) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [14] [130/240] eta: 0:00:49 lr: 0.000031 loss: 0.9384 (0.9172) time: 0.4363 data: 0.0001 max mem: 20904
Epoch: [14] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9384 (0.9129) time: 0.4361 data: 0.0001 max mem: 20904
Epoch: [14] [150/240] eta: 0:00:40 lr: 0.000031 loss: 0.8683 (0.9133) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [14] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8713 (0.9098) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [14] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.9172 (0.9104) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [14] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9298 (0.9116) time: 0.4355 data: 0.0001 max mem: 20904
Epoch: [14] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8496 (0.9058) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [14] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9272 (0.9094) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [14] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9891 (0.9140) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [14] [220/240] eta: 0:00:08 lr: 0.000031 loss: 1.0594 (0.9206) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [14] [230/240] eta: 0:00:04 lr: 0.000031 loss: 1.0594 (0.9239) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [14] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9640 (0.9224) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [14] Total time: 0:01:46 (0.4422 s / it)
Averaged stats: lr: 0.000031 loss: 0.9640 (0.9196)
Test: [ 0/76] eta: 0:02:57 loss: 0.2333 (0.2333) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.3323 data: 2.0999 max mem: 20904
Test: [10/76] eta: 0:00:27 loss: 0.1359 (0.2031) acc1: 100.0000 (96.9697) acc5: 100.0000 (100.0000) time: 0.4205 data: 0.1910 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1290 (0.1652) acc1: 100.0000 (98.4127) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1242 (0.1706) acc1: 100.0000 (98.3871) acc5: 100.0000 (100.0000) time: 0.2280 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.1431 (0.1617) acc1: 100.0000 (98.7805) acc5: 100.0000 (100.0000) time: 0.2282 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1431 (0.1679) acc1: 100.0000 (98.5294) acc5: 100.0000 (100.0000) time: 0.2252 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1405 (0.1639) acc1: 100.0000 (98.6339) acc5: 100.0000 (100.0000) time: 0.2263 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1352 (0.1648) acc1: 100.0000 (98.7089) acc5: 100.0000 (100.0000) time: 0.2230 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1495 (0.1650) acc1: 100.0000 (98.7885) acc5: 100.0000 (100.0000) time: 0.2162 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2533 s / it)
* Acc@1 98.789 Acc@5 100.000 loss 0.164
Accuracy of the network on the 908 test images: 98.8%
Max accuracy: 98.79%
Epoch: [15] [ 0/240] eta: 0:06:49 lr: 0.000031 loss: 0.6097 (0.6097) time: 1.7058 data: 1.2194 max mem: 20904
Epoch: [15] [ 10/240] eta: 0:02:08 lr: 0.000031 loss: 0.9984 (0.9245) time: 0.5580 data: 0.1154 max mem: 20904
Epoch: [15] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 1.0951 (0.9877) time: 0.4389 data: 0.0026 max mem: 20904
Epoch: [15] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 1.0951 (0.9914) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [15] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.9809 (0.9671) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [15] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.9744 (0.9682) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [15] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8551 (0.9570) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [15] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.8420 (0.9544) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [15] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 1.0576 (0.9586) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [15] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9934 (0.9540) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [15] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8737 (0.9543) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [15] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9755 (0.9520) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [15] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9568 (0.9505) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [15] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9623 (0.9511) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [15] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9623 (0.9531) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [15] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9542 (0.9507) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [15] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9925 (0.9524) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [15] [170/240] eta: 0:00:30 lr: 0.000031 loss: 1.0003 (0.9532) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [15] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8924 (0.9474) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [15] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8961 (0.9492) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [15] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9573 (0.9480) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [15] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9122 (0.9418) time: 0.4369 data: 0.0001 max mem: 20904
Epoch: [15] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8515 (0.9355) time: 0.4384 data: 0.0001 max mem: 20904
Epoch: [15] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8788 (0.9348) time: 0.4358 data: 0.0001 max mem: 20904
Epoch: [15] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.8912 (0.9338) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [15] Total time: 0:01:45 (0.4410 s / it)
Averaged stats: lr: 0.000031 loss: 0.8912 (0.9235)
Test: [ 0/76] eta: 0:02:35 loss: 0.1226 (0.1226) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.0492 data: 1.8039 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1277 (0.1403) acc1: 100.0000 (99.2424) acc5: 100.0000 (100.0000) time: 0.4033 data: 0.1641 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1258 (0.1338) acc1: 100.0000 (99.6032) acc5: 100.0000 (100.0000) time: 0.2367 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1205 (0.1479) acc1: 100.0000 (98.9247) acc5: 100.0000 (100.0000) time: 0.2313 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1125 (0.1396) acc1: 100.0000 (99.1870) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1167 (0.1995) acc1: 100.0000 (97.0588) acc5: 100.0000 (100.0000) time: 0.2282 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1092 (0.1836) acc1: 100.0000 (97.5410) acc5: 100.0000 (100.0000) time: 0.2284 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1046 (0.1730) acc1: 100.0000 (97.8873) acc5: 100.0000 (100.0000) time: 0.2220 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1046 (0.1685) acc1: 100.0000 (98.0176) acc5: 100.0000 (100.0000) time: 0.2145 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2529 s / it)
* Acc@1 98.293 Acc@5 100.000 loss 0.175
Accuracy of the network on the 908 test images: 98.3%
Max accuracy: 98.79%
Epoch: [16] [ 0/240] eta: 0:07:48 lr: 0.000031 loss: 0.6594 (0.6594) time: 1.9511 data: 1.4917 max mem: 20904
Epoch: [16] [ 10/240] eta: 0:02:11 lr: 0.000031 loss: 0.9870 (0.9694) time: 0.5729 data: 0.1357 max mem: 20904
Epoch: [16] [ 20/240] eta: 0:01:51 lr: 0.000031 loss: 0.8650 (0.8896) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [16] [ 30/240] eta: 0:01:41 lr: 0.000031 loss: 0.8560 (0.8959) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [16] [ 40/240] eta: 0:01:34 lr: 0.000031 loss: 0.8560 (0.8739) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [16] [ 50/240] eta: 0:01:28 lr: 0.000031 loss: 0.8428 (0.8803) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [16] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8857 (0.8693) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [16] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.8857 (0.8729) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [16] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9146 (0.8803) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.8397 (0.8715) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8009 (0.8678) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.8724 (0.8709) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [16] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9282 (0.8742) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [16] [130/240] eta: 0:00:49 lr: 0.000031 loss: 0.9002 (0.8832) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9239 (0.8860) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [16] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9201 (0.8873) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [16] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8914 (0.8904) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [16] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.8725 (0.8891) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [16] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9360 (0.8918) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [16] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9284 (0.8941) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [16] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8869 (0.8954) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9734 (0.9020) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.9354 (0.9041) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [16] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.7687 (0.8991) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [16] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.7876 (0.8965) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [16] Total time: 0:01:45 (0.4411 s / it)
Averaged stats: lr: 0.000031 loss: 0.7876 (0.9019)
Test: [ 0/76] eta: 0:02:45 loss: 0.2118 (0.2118) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.1771 data: 1.9469 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1589 (0.1950) acc1: 100.0000 (96.9697) acc5: 100.0000 (100.0000) time: 0.4081 data: 0.1771 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1589 (0.1985) acc1: 100.0000 (96.8254) acc5: 100.0000 (100.0000) time: 0.2283 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1464 (0.1762) acc1: 100.0000 (97.5806) acc5: 100.0000 (100.0000) time: 0.2248 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1255 (0.1651) acc1: 100.0000 (97.9675) acc5: 100.0000 (100.0000) time: 0.2264 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1354 (0.2009) acc1: 100.0000 (96.4052) acc5: 100.0000 (100.0000) time: 0.2302 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1116 (0.1866) acc1: 100.0000 (96.8579) acc5: 100.0000 (100.0000) time: 0.2299 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.0950 (0.1749) acc1: 100.0000 (97.3005) acc5: 100.0000 (100.0000) time: 0.2250 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1028 (0.1711) acc1: 100.0000 (97.4670) acc5: 100.0000 (100.0000) time: 0.2170 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2529 s / it)
* Acc@1 98.073 Acc@5 100.000 loss 0.166
Accuracy of the network on the 908 test images: 98.1%
Max accuracy: 98.79%
Epoch: [17] [ 0/240] eta: 0:07:29 lr: 0.000031 loss: 1.0315 (1.0315) time: 1.8715 data: 1.4212 max mem: 20904
Epoch: [17] [ 10/240] eta: 0:02:10 lr: 0.000031 loss: 0.8841 (0.8837) time: 0.5663 data: 0.1293 max mem: 20904
Epoch: [17] [ 20/240] eta: 0:01:50 lr: 0.000031 loss: 0.8841 (0.8972) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [17] [ 30/240] eta: 0:01:41 lr: 0.000031 loss: 0.9341 (0.9055) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [17] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8885 (0.8969) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [17] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.8871 (0.9045) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [17] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9199 (0.9079) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [17] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9690 (0.9093) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [17] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9371 (0.9040) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [17] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9097 (0.9088) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [17] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.9510 (0.9156) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [17] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9510 (0.9181) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [17] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.8504 (0.9093) time: 0.4362 data: 0.0001 max mem: 20904
Epoch: [17] [130/240] eta: 0:00:49 lr: 0.000031 loss: 0.9107 (0.9148) time: 0.4360 data: 0.0001 max mem: 20904
Epoch: [17] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9718 (0.9161) time: 0.4332 data: 0.0001 max mem: 20904
Epoch: [17] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.8883 (0.9092) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [17] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8247 (0.9141) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [17] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.9328 (0.9136) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [17] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8806 (0.9162) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [17] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8454 (0.9094) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [17] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8568 (0.9086) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [17] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9230 (0.9098) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [17] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8194 (0.9066) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [17] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8711 (0.9074) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [17] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9779 (0.9093) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [17] Total time: 0:01:45 (0.4412 s / it)
Averaged stats: lr: 0.000031 loss: 0.9779 (0.9086)
Test: [ 0/76] eta: 0:02:24 loss: 0.4807 (0.4807) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 1.8966 data: 1.6616 max mem: 20904
Test: [10/76] eta: 0:00:25 loss: 0.1043 (0.2876) acc1: 100.0000 (93.9394) acc5: 100.0000 (100.0000) time: 0.3839 data: 0.1512 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1193 (0.2118) acc1: 100.0000 (96.8254) acc5: 100.0000 (100.0000) time: 0.2301 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:12 loss: 0.1257 (0.2218) acc1: 100.0000 (96.5054) acc5: 100.0000 (100.0000) time: 0.2239 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1197 (0.1995) acc1: 100.0000 (97.1545) acc5: 100.0000 (100.0000) time: 0.2228 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1197 (0.1984) acc1: 100.0000 (96.8954) acc5: 100.0000 (100.0000) time: 0.2257 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1143 (0.1851) acc1: 100.0000 (97.1311) acc5: 100.0000 (100.0000) time: 0.2240 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1057 (0.1792) acc1: 100.0000 (97.4178) acc5: 100.0000 (100.0000) time: 0.2211 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1175 (0.1753) acc1: 100.0000 (97.5771) acc5: 100.0000 (100.0000) time: 0.2154 data: 0.0001 max mem: 20904
Test: Total time: 0:00:18 (0.2468 s / it)
* Acc@1 98.073 Acc@5 100.000 loss 0.172
Accuracy of the network on the 908 test images: 98.1%
Max accuracy: 98.79%
Epoch: [18] [ 0/240] eta: 0:06:41 lr: 0.000031 loss: 0.9296 (0.9296) time: 1.6745 data: 1.2172 max mem: 20904
Epoch: [18] [ 10/240] eta: 0:02:07 lr: 0.000031 loss: 0.8595 (0.8967) time: 0.5525 data: 0.1108 max mem: 20904
Epoch: [18] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 0.8250 (0.8579) time: 0.4374 data: 0.0001 max mem: 20904
Epoch: [18] [ 30/240] eta: 0:01:39 lr: 0.000031 loss: 0.7900 (0.8630) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [18] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.9343 (0.8782) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [18] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.9375 (0.8883) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [18] [ 60/240] eta: 0:01:21 lr: 0.000031 loss: 0.9141 (0.8823) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [18] [ 70/240] eta: 0:01:16 lr: 0.000031 loss: 0.8469 (0.8821) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [18] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9312 (0.9008) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [18] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.8682 (0.8979) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [18] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8451 (0.8931) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [18] [110/240] eta: 0:00:57 lr: 0.000031 loss: 0.8716 (0.8902) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [18] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9037 (0.8940) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [18] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9648 (0.8958) time: 0.4332 data: 0.0001 max mem: 20904
Epoch: [18] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.8667 (0.8889) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [18] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9292 (0.8934) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [18] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9395 (0.8931) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [18] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.7845 (0.8858) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [18] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8246 (0.8861) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [18] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9871 (0.8955) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [18] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9662 (0.8911) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [18] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.8124 (0.8905) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [18] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.9633 (0.8921) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [18] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9724 (0.8955) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [18] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9090 (0.8956) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [18] Total time: 0:01:45 (0.4400 s / it)
Averaged stats: lr: 0.000031 loss: 0.9090 (0.8997)
Test: [ 0/76] eta: 0:02:24 loss: 0.0937 (0.0937) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 1.9019 data: 1.6875 max mem: 20904
Test: [10/76] eta: 0:00:25 loss: 0.1231 (0.1328) acc1: 100.0000 (99.2424) acc5: 100.0000 (100.0000) time: 0.3804 data: 0.1535 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1348 (0.1412) acc1: 100.0000 (99.2063) acc5: 100.0000 (100.0000) time: 0.2288 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1358 (0.1463) acc1: 100.0000 (98.9247) acc5: 100.0000 (100.0000) time: 0.2304 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1106 (0.1371) acc1: 100.0000 (99.1870) acc5: 100.0000 (100.0000) time: 0.2294 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1078 (0.1413) acc1: 100.0000 (98.8562) acc5: 100.0000 (100.0000) time: 0.2271 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1110 (0.1386) acc1: 100.0000 (98.9071) acc5: 100.0000 (100.0000) time: 0.2274 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1158 (0.1398) acc1: 100.0000 (98.9437) acc5: 100.0000 (100.0000) time: 0.2248 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1229 (0.1390) acc1: 100.0000 (99.0088) acc5: 100.0000 (100.0000) time: 0.2171 data: 0.0001 max mem: 20904
Test: Total time: 0:00:18 (0.2496 s / it)
* Acc@1 98.954 Acc@5 100.000 loss 0.143
Accuracy of the network on the 908 test images: 99.0%
Max accuracy: 98.95%
Epoch: [19] [ 0/240] eta: 0:06:26 lr: 0.000031 loss: 1.0380 (1.0380) time: 1.6122 data: 1.1460 max mem: 20904
Epoch: [19] [ 10/240] eta: 0:02:07 lr: 0.000031 loss: 1.0102 (0.9776) time: 0.5538 data: 0.1043 max mem: 20904
Epoch: [19] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 0.9516 (0.9715) time: 0.4419 data: 0.0001 max mem: 20904
Epoch: [19] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.9180 (0.9360) time: 0.4378 data: 0.0001 max mem: 20904
Epoch: [19] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8638 (0.9248) time: 0.4401 data: 0.0001 max mem: 20904
Epoch: [19] [ 50/240] eta: 0:01:28 lr: 0.000031 loss: 0.9140 (0.9139) time: 0.4402 data: 0.0001 max mem: 20904
Epoch: [19] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.9393 (0.9097) time: 0.4406 data: 0.0001 max mem: 20904
Epoch: [19] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9393 (0.9069) time: 0.4412 data: 0.0001 max mem: 20904
Epoch: [19] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9633 (0.9197) time: 0.4417 data: 0.0001 max mem: 20904
Epoch: [19] [ 90/240] eta: 0:01:08 lr: 0.000031 loss: 0.9245 (0.9081) time: 0.4415 data: 0.0001 max mem: 20904
Epoch: [19] [100/240] eta: 0:01:03 lr: 0.000031 loss: 0.9135 (0.9154) time: 0.4399 data: 0.0001 max mem: 20904
Epoch: [19] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9868 (0.9223) time: 0.4394 data: 0.0001 max mem: 20904
Epoch: [19] [120/240] eta: 0:00:54 lr: 0.000031 loss: 0.9669 (0.9186) time: 0.4389 data: 0.0001 max mem: 20904
Epoch: [19] [130/240] eta: 0:00:49 lr: 0.000031 loss: 0.8378 (0.9179) time: 0.4374 data: 0.0001 max mem: 20904
Epoch: [19] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9515 (0.9217) time: 0.4358 data: 0.0001 max mem: 20904
Epoch: [19] [150/240] eta: 0:00:40 lr: 0.000031 loss: 0.9293 (0.9157) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [19] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9293 (0.9184) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [19] [170/240] eta: 0:00:31 lr: 0.000031 loss: 0.9361 (0.9176) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [19] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9643 (0.9242) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [19] [190/240] eta: 0:00:22 lr: 0.000031 loss: 1.0007 (0.9246) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [19] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8666 (0.9211) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [19] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.8188 (0.9167) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [19] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.7847 (0.9144) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [19] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8994 (0.9164) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [19] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9679 (0.9150) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [19] Total time: 0:01:46 (0.4429 s / it)
Averaged stats: lr: 0.000031 loss: 0.9679 (0.9114)
Test: [ 0/76] eta: 0:02:41 loss: 0.1083 (0.1083) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.1240 data: 1.8918 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1219 (0.1255) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 0.4058 data: 0.1721 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.1126 (0.1259) acc1: 100.0000 (99.6032) acc5: 100.0000 (100.0000) time: 0.2314 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1186 (0.1287) acc1: 100.0000 (99.7312) acc5: 100.0000 (100.0000) time: 0.2277 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1312 (0.1296) acc1: 100.0000 (99.7967) acc5: 100.0000 (100.0000) time: 0.2265 data: 0.0003 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1360 (0.1524) acc1: 100.0000 (98.8562) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0003 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1201 (0.1468) acc1: 100.0000 (98.9071) acc5: 100.0000 (100.0000) time: 0.2266 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1165 (0.1439) acc1: 100.0000 (98.9437) acc5: 100.0000 (100.0000) time: 0.2268 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1118 (0.1411) acc1: 100.0000 (99.0088) acc5: 100.0000 (100.0000) time: 0.2224 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2532 s / it)
* Acc@1 98.458 Acc@5 100.000 loss 0.160
Accuracy of the network on the 908 test images: 98.5%
Max accuracy: 98.95%
Epoch: [20] [ 0/240] eta: 0:07:23 lr: 0.000031 loss: 0.9049 (0.9049) time: 1.8481 data: 1.3799 max mem: 20904
Epoch: [20] [ 10/240] eta: 0:02:09 lr: 0.000031 loss: 0.9467 (0.9249) time: 0.5648 data: 0.1255 max mem: 20904
Epoch: [20] [ 20/240] eta: 0:01:50 lr: 0.000031 loss: 0.9467 (0.9156) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [20] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.8458 (0.8900) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [20] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8350 (0.8872) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [20] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.8999 (0.8779) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [20] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8068 (0.8664) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [20] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.8198 (0.8714) time: 0.4346 data: 0.0001 max mem: 20904
Epoch: [20] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.8447 (0.8713) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [20] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.8696 (0.8687) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [20] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8009 (0.8676) time: 0.4334 data: 0.0001 max mem: 20904
Epoch: [20] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.8619 (0.8685) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [20] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9473 (0.8753) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [20] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9273 (0.8758) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [20] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9273 (0.8835) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [20] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9120 (0.8787) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [20] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8953 (0.8815) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [20] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.8697 (0.8781) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [20] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8929 (0.8805) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [20] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9400 (0.8837) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [20] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9291 (0.8841) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [20] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.8809 (0.8850) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [20] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8949 (0.8873) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [20] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8949 (0.8851) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [20] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.8035 (0.8844) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [20] Total time: 0:01:45 (0.4408 s / it)
Averaged stats: lr: 0.000031 loss: 0.8035 (0.8842)
Test: [ 0/76] eta: 0:02:57 loss: 0.1744 (0.1744) acc1: 91.6667 (91.6667) acc5: 100.0000 (100.0000) time: 2.3383 data: 2.1033 max mem: 20904
Test: [10/76] eta: 0:00:27 loss: 0.0971 (0.1444) acc1: 100.0000 (97.7273) acc5: 100.0000 (100.0000) time: 0.4216 data: 0.1913 max mem: 20904
Test: [20/76] eta: 0:00:18 loss: 0.0965 (0.1269) acc1: 100.0000 (98.4127) acc5: 100.0000 (100.0000) time: 0.2294 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1230 (0.1531) acc1: 100.0000 (98.1183) acc5: 100.0000 (100.0000) time: 0.2283 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.1286 (0.1437) acc1: 100.0000 (98.5772) acc5: 100.0000 (100.0000) time: 0.2279 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.1193 (0.1534) acc1: 100.0000 (98.5294) acc5: 100.0000 (100.0000) time: 0.2275 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1207 (0.1504) acc1: 100.0000 (98.6339) acc5: 100.0000 (100.0000) time: 0.2278 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1115 (0.1470) acc1: 100.0000 (98.7089) acc5: 100.0000 (100.0000) time: 0.2250 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1065 (0.1443) acc1: 100.0000 (98.7885) acc5: 100.0000 (100.0000) time: 0.2183 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2549 s / it)
* Acc@1 98.733 Acc@5 100.000 loss 0.149
Accuracy of the network on the 908 test images: 98.7%
Max accuracy: 98.95%
Epoch: [21] [ 0/240] eta: 0:06:47 lr: 0.000031 loss: 0.7436 (0.7436) time: 1.6998 data: 1.2361 max mem: 20904
Epoch: [21] [ 10/240] eta: 0:02:07 lr: 0.000031 loss: 0.8140 (0.8208) time: 0.5549 data: 0.1125 max mem: 20904
Epoch: [21] [ 20/240] eta: 0:01:49 lr: 0.000031 loss: 0.8796 (0.8574) time: 0.4379 data: 0.0001 max mem: 20904
Epoch: [21] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.8086 (0.8322) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [21] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8086 (0.8532) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [21] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.9516 (0.8544) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [21] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.7880 (0.8529) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [21] [ 70/240] eta: 0:01:16 lr: 0.000031 loss: 0.8448 (0.8621) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [21] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9319 (0.8750) time: 0.4359 data: 0.0001 max mem: 20904
Epoch: [21] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9319 (0.8757) time: 0.4371 data: 0.0001 max mem: 20904
Epoch: [21] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8894 (0.8838) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [21] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9493 (0.8904) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [21] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9444 (0.8979) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [21] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9389 (0.8971) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [21] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9505 (0.8976) time: 0.4333 data: 0.0001 max mem: 20904
Epoch: [21] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.8114 (0.8903) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [21] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8101 (0.8918) time: 0.4355 data: 0.0001 max mem: 20904
Epoch: [21] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.9499 (0.8934) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [21] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9536 (0.8933) time: 0.4337 data: 0.0001 max mem: 20904
Epoch: [21] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9484 (0.8928) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [21] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9830 (0.9000) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [21] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9416 (0.8984) time: 0.4383 data: 0.0001 max mem: 20904
Epoch: [21] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8978 (0.8978) time: 0.4379 data: 0.0001 max mem: 20904
Epoch: [21] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.9231 (0.8984) time: 0.4365 data: 0.0001 max mem: 20904
Epoch: [21] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9547 (0.8997) time: 0.4366 data: 0.0001 max mem: 20904
Epoch: [21] Total time: 0:01:45 (0.4413 s / it)
Averaged stats: lr: 0.000031 loss: 0.9547 (0.8965)
Test: [ 0/76] eta: 0:02:44 loss: 0.1033 (0.1033) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.1694 data: 1.9406 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1248 (0.1247) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 0.4061 data: 0.1765 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1350 (0.1366) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 0.2288 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1490 (0.1644) acc1: 100.0000 (98.9247) acc5: 100.0000 (100.0000) time: 0.2289 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1590 (0.1713) acc1: 100.0000 (98.7805) acc5: 100.0000 (100.0000) time: 0.2293 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1278 (0.1775) acc1: 100.0000 (98.5294) acc5: 100.0000 (100.0000) time: 0.2280 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1236 (0.1723) acc1: 100.0000 (98.4973) acc5: 100.0000 (100.0000) time: 0.2273 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1218 (0.1682) acc1: 100.0000 (98.5915) acc5: 100.0000 (100.0000) time: 0.2226 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1191 (0.1628) acc1: 100.0000 (98.6784) acc5: 100.0000 (100.0000) time: 0.2168 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2525 s / it)
* Acc@1 98.844 Acc@5 100.000 loss 0.168
Accuracy of the network on the 908 test images: 98.8%
Max accuracy: 98.95%
Epoch: [22] [ 0/240] eta: 0:07:20 lr: 0.000031 loss: 0.6747 (0.6747) time: 1.8346 data: 1.3765 max mem: 20904
Epoch: [22] [ 10/240] eta: 0:02:09 lr: 0.000031 loss: 0.8907 (0.8756) time: 0.5630 data: 0.1252 max mem: 20904
Epoch: [22] [ 20/240] eta: 0:01:50 lr: 0.000031 loss: 0.8907 (0.8867) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [22] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.9212 (0.8913) time: 0.4329 data: 0.0001 max mem: 20904
Epoch: [22] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8280 (0.8711) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [22] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.8218 (0.8826) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [22] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 1.0071 (0.8987) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [22] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9894 (0.9030) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [22] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9502 (0.8880) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [22] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.8276 (0.8831) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [22] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8709 (0.8873) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [22] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.8833 (0.8862) time: 0.4335 data: 0.0001 max mem: 20904
Epoch: [22] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.8833 (0.8887) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [22] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.9141 (0.8893) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [22] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.9165 (0.8911) time: 0.4339 data: 0.0001 max mem: 20904
Epoch: [22] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.9112 (0.8857) time: 0.4353 data: 0.0001 max mem: 20904
Epoch: [22] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.8133 (0.8885) time: 0.4357 data: 0.0001 max mem: 20904
Epoch: [22] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.9355 (0.8893) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [22] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.8999 (0.8874) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [22] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.9168 (0.8926) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [22] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.9063 (0.8903) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [22] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.9011 (0.8905) time: 0.4348 data: 0.0001 max mem: 20904
Epoch: [22] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8508 (0.8897) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [22] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8951 (0.8905) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [22] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9449 (0.8901) time: 0.4340 data: 0.0001 max mem: 20904
Epoch: [22] Total time: 0:01:45 (0.4408 s / it)
Averaged stats: lr: 0.000031 loss: 0.9449 (0.8958)
Test: [ 0/76] eta: 0:03:17 loss: 0.1378 (0.1378) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.5976 data: 2.3464 max mem: 20904
Test: [10/76] eta: 0:00:29 loss: 0.1149 (0.1523) acc1: 100.0000 (97.7273) acc5: 100.0000 (100.0000) time: 0.4403 data: 0.2134 max mem: 20904
Test: [20/76] eta: 0:00:19 loss: 0.1153 (0.1389) acc1: 100.0000 (98.8095) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1199 (0.1547) acc1: 100.0000 (98.6559) acc5: 100.0000 (100.0000) time: 0.2295 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:10 loss: 0.1195 (0.1432) acc1: 100.0000 (98.9837) acc5: 100.0000 (100.0000) time: 0.2286 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:07 loss: 0.1168 (0.1537) acc1: 100.0000 (98.6928) acc5: 100.0000 (100.0000) time: 0.2279 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1192 (0.1487) acc1: 100.0000 (98.9071) acc5: 100.0000 (100.0000) time: 0.2265 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.1176 (0.1469) acc1: 100.0000 (98.9437) acc5: 100.0000 (100.0000) time: 0.2229 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1178 (0.1451) acc1: 100.0000 (99.0088) acc5: 100.0000 (100.0000) time: 0.2184 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2577 s / it)
* Acc@1 99.119 Acc@5 100.000 loss 0.150
Accuracy of the network on the 908 test images: 99.1%
Max accuracy: 99.12%
Epoch: [23] [ 0/240] eta: 0:07:19 lr: 0.000031 loss: 0.9318 (0.9318) time: 1.8311 data: 1.3723 max mem: 20904
Epoch: [23] [ 10/240] eta: 0:02:09 lr: 0.000031 loss: 0.9318 (0.9084) time: 0.5628 data: 0.1248 max mem: 20904
Epoch: [23] [ 20/240] eta: 0:01:50 lr: 0.000031 loss: 0.8038 (0.8473) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [23] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.7278 (0.8120) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [23] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.7368 (0.8370) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [23] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.9059 (0.8455) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [23] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8494 (0.8457) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [23] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9400 (0.8753) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [23] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9400 (0.8782) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [23] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.9163 (0.8718) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [23] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.8108 (0.8710) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [23] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.8862 (0.8763) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [23] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.8935 (0.8773) time: 0.4349 data: 0.0001 max mem: 20904
Epoch: [23] [130/240] eta: 0:00:48 lr: 0.000031 loss: 0.7999 (0.8683) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [23] [140/240] eta: 0:00:44 lr: 0.000031 loss: 0.7999 (0.8701) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [23] [150/240] eta: 0:00:39 lr: 0.000031 loss: 0.8441 (0.8679) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [23] [160/240] eta: 0:00:35 lr: 0.000031 loss: 0.9130 (0.8690) time: 0.4342 data: 0.0001 max mem: 20904
Epoch: [23] [170/240] eta: 0:00:30 lr: 0.000031 loss: 0.9458 (0.8735) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [23] [180/240] eta: 0:00:26 lr: 0.000031 loss: 0.9414 (0.8729) time: 0.4341 data: 0.0001 max mem: 20904
Epoch: [23] [190/240] eta: 0:00:22 lr: 0.000031 loss: 0.8156 (0.8700) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [23] [200/240] eta: 0:00:17 lr: 0.000031 loss: 0.8426 (0.8710) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [23] [210/240] eta: 0:00:13 lr: 0.000031 loss: 0.8826 (0.8706) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [23] [220/240] eta: 0:00:08 lr: 0.000031 loss: 0.8047 (0.8681) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [23] [230/240] eta: 0:00:04 lr: 0.000031 loss: 0.8281 (0.8681) time: 0.4351 data: 0.0001 max mem: 20904
Epoch: [23] [239/240] eta: 0:00:00 lr: 0.000031 loss: 0.9067 (0.8688) time: 0.4343 data: 0.0001 max mem: 20904
Epoch: [23] Total time: 0:01:45 (0.4409 s / it)
Averaged stats: lr: 0.000031 loss: 0.9067 (0.8776)
Test: [ 0/76] eta: 0:02:43 loss: 0.1311 (0.1311) acc1: 100.0000 (100.0000) acc5: 100.0000 (100.0000) time: 2.1541 data: 1.9265 max mem: 20904
Test: [10/76] eta: 0:00:26 loss: 0.1158 (0.1274) acc1: 100.0000 (99.2424) acc5: 100.0000 (100.0000) time: 0.4054 data: 0.1777 max mem: 20904
Test: [20/76] eta: 0:00:17 loss: 0.1123 (0.1225) acc1: 100.0000 (99.6032) acc5: 100.0000 (100.0000) time: 0.2286 data: 0.0015 max mem: 20904
Test: [30/76] eta: 0:00:13 loss: 0.1238 (0.1450) acc1: 100.0000 (99.4624) acc5: 100.0000 (100.0000) time: 0.2267 data: 0.0001 max mem: 20904
Test: [40/76] eta: 0:00:09 loss: 0.1242 (0.1394) acc1: 100.0000 (99.3902) acc5: 100.0000 (100.0000) time: 0.2299 data: 0.0001 max mem: 20904
Test: [50/76] eta: 0:00:06 loss: 0.1271 (0.1612) acc1: 100.0000 (98.8562) acc5: 100.0000 (100.0000) time: 0.2292 data: 0.0001 max mem: 20904
Test: [60/76] eta: 0:00:04 loss: 0.1041 (0.1521) acc1: 100.0000 (99.0437) acc5: 100.0000 (100.0000) time: 0.2266 data: 0.0001 max mem: 20904
Test: [70/76] eta: 0:00:01 loss: 0.0979 (0.1461) acc1: 100.0000 (99.0610) acc5: 100.0000 (100.0000) time: 0.2227 data: 0.0001 max mem: 20904
Test: [75/76] eta: 0:00:00 loss: 0.1013 (0.1431) acc1: 100.0000 (99.1189) acc5: 100.0000 (100.0000) time: 0.2168 data: 0.0001 max mem: 20904
Test: Total time: 0:00:19 (0.2526 s / it)
* Acc@1 98.954 Acc@5 100.000 loss 0.151
Accuracy of the network on the 908 test images: 99.0%
Max accuracy: 99.12%
Epoch: [24] [ 0/240] eta: 0:07:11 lr: 0.000031 loss: 1.0339 (1.0339) time: 1.7975 data: 1.3391 max mem: 20904
Epoch: [24] [ 10/240] eta: 0:02:08 lr: 0.000031 loss: 0.9405 (0.9184) time: 0.5606 data: 0.1218 max mem: 20904
Epoch: [24] [ 20/240] eta: 0:01:50 lr: 0.000031 loss: 0.8906 (0.8992) time: 0.4354 data: 0.0001 max mem: 20904
Epoch: [24] [ 30/240] eta: 0:01:40 lr: 0.000031 loss: 0.8128 (0.8777) time: 0.4338 data: 0.0001 max mem: 20904
Epoch: [24] [ 40/240] eta: 0:01:33 lr: 0.000031 loss: 0.8865 (0.8828) time: 0.4336 data: 0.0001 max mem: 20904
Epoch: [24] [ 50/240] eta: 0:01:27 lr: 0.000031 loss: 0.8913 (0.8861) time: 0.4344 data: 0.0001 max mem: 20904
Epoch: [24] [ 60/240] eta: 0:01:22 lr: 0.000031 loss: 0.8839 (0.8796) time: 0.4356 data: 0.0001 max mem: 20904
Epoch: [24] [ 70/240] eta: 0:01:17 lr: 0.000031 loss: 0.9251 (0.8946) time: 0.4358 data: 0.0002 max mem: 20904
Epoch: [24] [ 80/240] eta: 0:01:12 lr: 0.000031 loss: 0.9164 (0.8932) time: 0.4347 data: 0.0001 max mem: 20904
Epoch: [24] [ 90/240] eta: 0:01:07 lr: 0.000031 loss: 0.8534 (0.8925) time: 0.4352 data: 0.0001 max mem: 20904
Epoch: [24] [100/240] eta: 0:01:02 lr: 0.000031 loss: 0.9294 (0.8933) time: 0.4350 data: 0.0001 max mem: 20904
Epoch: [24] [110/240] eta: 0:00:58 lr: 0.000031 loss: 0.9402 (0.8987) time: 0.4345 data: 0.0001 max mem: 20904
Epoch: [24] [120/240] eta: 0:00:53 lr: 0.000031 loss: 0.9222 (0.8993) time: 0.4344 data: 0.0001 max mem: 20904